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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorAztiria Goenaga, Asier
dc.contributor.otherFarhadi, G.
dc.contributor.otherAghajan, H.
dc.date.accessioned2022-07-04T10:28:15Z
dc.date.available2022-07-04T10:28:15Z
dc.date.issued2013
dc.identifier.issn2291-5222en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=102679en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5617
dc.description.abstractIdentifying users' frequent behaviors is considered a key step to achieving real, intelligent environments that support people in their daily lives. These patterns can be used in many different applications. An algorithm that compares current behaviors of users with previously discovered frequent behaviors has been developed. In addition, it identifies the differences between both behaviors. Identified shifts can be used not only to adapt frequent behaviors, but also shifts may indicate initial signs of some diseases linked to behavioral modifications, such as depression or Alzheimer’s. The algorithm was validated using datasets collected from smart apartments where five different ADLs (Activities of Daily Living) were recognized. It was able to identify all shifts from frequent behaviors, as well as identifying necessary modifications in all cases.en
dc.language.isoengen
dc.publisherJMIR Publicationsen
dc.rights© Asier Aztiria, Golnaz Farhadi, Hamid Aghajan. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 18.06.2013.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectshift detectionen
dc.subjectintelligent environmentsen
dc.subjectdisease detectionen
dc.titleUser behavior shift detection in ambient assisted living environmentsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceJMIR Mhealth Uhealthen
local.contributor.groupSistemas distribuidos de tiempo reales
local.contributor.groupAnálisis de datos y ciberseguridades
local.description.peerreviewedtrueen
local.identifier.doihttp://dx.doi.org/10.2196/mhealth.2536en
local.contributor.otherinstitutionhttps://ror.org/00f54p054en
local.source.detailsVol. 1. Nº 1. e6,en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International